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Yizhen Zhao
This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.
Read more
This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.
Read more
This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.
You will be introduced to preliminary topics in data science and explore the process of building a web application using Python. You will complete hands-on programming tasks using your creativity and learn how to apply Python to resolve real-world problems.
Register for this course and see more details by visiting:
OpenCourser.com/course/wagshq/basic
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What's inside
Syllabus
Clean Code in Python I
This module focuses on the art of writing clean Python code. Throughout this module, you will explore PEP 8 conventions and standards, and engage with a variety of coding examples. This will enable you to understand the importance of coding conventions for professional programming. By the end of this module, you should be able to put your knowledge of clean code principles into practice by writing readable, efficient, and maintainable code.
Read more
Syllabus
Clean Code in Python I
This module focuses on the art of writing clean Python code. Throughout this module, you will explore PEP 8 conventions and standards, and engage with a variety of coding examples. This will enable you to understand the importance of coding conventions for professional programming. By the end of this module, you should be able to put your knowledge of clean code principles into practice by writing readable, efficient, and maintainable code.
Read more
Clean Code in Python II
In this module, we will continue to explore writing clean Python code. Throughout this module, you will mostly be practicing what you learned in the previous module about best practices for clean code and examine examples and basic practices to review key learnings on Pythonic code.
Advanced Loops
In this module, you will further your knowledge of Python loops. First, you will start by refreshing your knowledge of for and while loops. From there, you will dive into more advanced loop concepts, such as using break and continue statements to enhance the functionality of loop behavior. By the end of this module, you should be able to put your knowledge into practice by creating loops that use control statements and conditionals for dynamic iteration.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps learners explore core concepts of Python such as data types, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, and basic object-oriented programming concepts
Provides an opportunity to build applications using tools from various task-specific Python libraries
Covers important topics in computer science and information systems
Introduces learners to preliminary topics in data science
Offers hands-on programming tasks for learners to apply their creativity and resolve real-world problems
Save this course
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Basic Programming in Python II with these
activities:
Review data science fundamentals
Show steps
Prepare for the data science component of the course by reviewing fundamental concepts such as data types, data structures, and statistical analysis.
Browse courses on
Data Science
Show steps
-
Revisit your notes or textbooks on data science basics.
-
Complete practice exercises on data manipulation and analysis.
Review Python basics
Show steps
Refresh your understanding of Python basics, including variables, data types, and control flow, to prepare for this course.
Browse courses on
Python Basics
Show steps
-
Review online tutorials or documentation on Python basics.
-
Complete practice exercises on basic Python concepts.
Review 'Python Crash Course, 2nd Edition' by Eric Matthes
Show steps
Supplement your course learning by reading this comprehensive guide to Python programming, covering essential concepts, libraries, and best practices.
View
Python Crash Course, 2nd Edition: A Hands-On,...
on Amazon
Show steps
-
Read through the book, taking notes and highlighting key concepts.
-
Complete the exercises and projects provided in the book.
-
Apply the concepts you learn in your own Python projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Build a simple Python script
Show steps
Apply your Python skills by creating a simple script that performs a specific task, such as data processing or text analysis.
Show steps
-
Identify a problem or task that can be solved using Python.
-
Design the script's logic and structure.
-
Write and test the Python code.
-
Document the script's functionality and usage.
Join a Python study group
Show steps
Collaborate with other students by joining a Python study group to discuss concepts, work on projects, and provide support.
Show steps
-
Find or create a Python study group online or through your university or local community.
-
Participate in regular group meetings and discussions.
-
Work together on projects or assignments.
-
Provide support and encouragement to other group members.
Follow tutorials on advanced Python libraries
Show steps
Expand your knowledge of Python libraries by following tutorials on specific libraries, such as NumPy, Pandas, or Matplotlib.
Show steps
-
Identify a specific Python library that aligns with your interests or course topics.
-
Find reputable online tutorials or courses on that library.
-
Follow the tutorials, complete the exercises, and experiment with the library's functionality.
-
Apply your newly acquired skills in your Python projects or assignments.
Solve Python coding problems
Show steps
Challenge your coding abilities by solving Python coding problems on platforms like Leetcode or HackerRank.
Show steps
-
Choose a problem-solving platform and select appropriate problems.
-
Analyze the problem statement and design an algorithm.
-
Implement the solution in Python and test its correctness.
-
Review and optimize your code for efficiency and readability.
Create a Python tutorial or blog post
Show steps
Enhance your understanding by creating a tutorial or blog post on a specific Python topic, sharing your knowledge and helping others learn.
Show steps
-
Choose a specific topic within Python that you are proficient in.
-
Research and gather relevant information and examples.
-
Write a clear and engaging tutorial or blog post, explaining the topic in detail.
-
Proofread and edit your content for clarity and accuracy.
-
Publish your tutorial or blog post online and share it with others.
Review data science fundamentals
Show steps
Prepare for the data science component of the course by reviewing fundamental concepts such as data types, data structures, and statistical analysis.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Revisit your notes or textbooks on data science basics.
- Complete practice exercises on data manipulation and analysis.
Review Python basics
Show steps
Refresh your understanding of Python basics, including variables, data types, and control flow, to prepare for this course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review online tutorials or documentation on Python basics.
- Complete practice exercises on basic Python concepts.
Review 'Python Crash Course, 2nd Edition' by Eric Matthes
Show steps
Supplement your course learning by reading this comprehensive guide to Python programming, covering essential concepts, libraries, and best practices.
View
Python Crash Course, 2nd Edition: A Hands-On,...
on Amazon
Show steps
Show steps
Show steps
- Read through the book, taking notes and highlighting key concepts.
- Complete the exercises and projects provided in the book.
- Apply the concepts you learn in your own Python projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Build a simple Python script
Show steps
Apply your Python skills by creating a simple script that performs a specific task, such as data processing or text analysis.
Show steps
Show steps
Show steps
- Identify a problem or task that can be solved using Python.
- Design the script's logic and structure.
- Write and test the Python code.
- Document the script's functionality and usage.
Join a Python study group
Show steps
Collaborate with other students by joining a Python study group to discuss concepts, work on projects, and provide support.
Show steps
Show steps
Show steps
- Find or create a Python study group online or through your university or local community.
- Participate in regular group meetings and discussions.
- Work together on projects or assignments.
- Provide support and encouragement to other group members.
Follow tutorials on advanced Python libraries
Show steps
Expand your knowledge of Python libraries by following tutorials on specific libraries, such as NumPy, Pandas, or Matplotlib.
Show steps
Show steps
Show steps
- Identify a specific Python library that aligns with your interests or course topics.
- Find reputable online tutorials or courses on that library.
- Follow the tutorials, complete the exercises, and experiment with the library's functionality.
- Apply your newly acquired skills in your Python projects or assignments.
Solve Python coding problems
Show steps
Challenge your coding abilities by solving Python coding problems on platforms like Leetcode or HackerRank.
Show steps
Show steps
Show steps
- Choose a problem-solving platform and select appropriate problems.
- Analyze the problem statement and design an algorithm.
- Implement the solution in Python and test its correctness.
- Review and optimize your code for efficiency and readability.
Create a Python tutorial or blog post
Show steps
Enhance your understanding by creating a tutorial or blog post on a specific Python topic, sharing your knowledge and helping others learn.
Show steps
Show steps
Show steps
- Choose a specific topic within Python that you are proficient in.
- Research and gather relevant information and examples.
- Write a clear and engaging tutorial or blog post, explaining the topic in detail.
- Proofread and edit your content for clarity and accuracy.
- Publish your tutorial or blog post online and share it with others.
Career center
Learners who complete Basic Programming in Python II will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
As a Software Engineer, you will be tasked with designing, developing, and maintaining software applications. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in software development. By completing this course, you will gain proficiency in core Python concepts and learn how to apply them to real-world problems.
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming, mathematics, and statistics to extract insights from data. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in data science. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for data scientists.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve real-world problems. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in machine learning. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for machine learning engineers.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business and technology to analyze and improve business processes. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in business analysis. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for business analysts.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in data analysis. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for data analysts.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in web development. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for web developers.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting computer systems from unauthorized access. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in information security. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for information security analysts.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in product management. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for product managers.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines to move data between different systems. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in data engineering. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for data engineers.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud computing solutions. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in cloud computing. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for cloud architects.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of programming, mathematics, and statistics to develop financial models. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in quantitative finance. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for quantitative analysts.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in DevOps. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for DevOps engineers.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in technical writing. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for technical writers.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in project management. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for project managers.
Security Analyst
Security Analyst
Security Analysts are responsible for protecting computer systems from unauthorized access. This course may be useful in helping you build a foundation in Python programming, which is a popular language used in security analysis. By completing this course, you will gain proficiency in data types, operators, and control flow, which are essential skills for security analysts.
For more career information including salaries, visit:
OpenCourser.com/course/wagshq/basic
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Basic Programming in Python II.
Comprehensive guide to Python. It covers all the basics of the language, as well as more advanced topics such as object-oriented programming and data science. It good choice for students who want to learn Python in depth.
Guide to becoming a better programmer. It covers a wide range of topics, from software design to testing and debugging. It good choice for students who want to learn how to write better code.
Save
Guide to writing clean code. It covers a wide range of topics, from coding conventions to refactoring and testing. It good choice for students who want to learn how to write more readable, maintainable, and efficient code.
Save
Guide to design patterns. It covers a wide range of design patterns that can be used to solve common software design problems. It good choice for students who want to learn how to write better code.
Classic work on software engineering. It covers a wide range of topics, from project management to software design. It good choice for students who want to learn more about the challenges of software engineering.
Practical guide to using Python to automate tasks. It covers a wide range of topics, from web scraping to data analysis. It good choice for students who want to learn how to use Python to solve real-world problems.
Is an introduction to data analysis using Python. It covers the basics of data wrangling, as well as more advanced topics such as data visualization and machine learning. It good choice for students who want to learn how to use Python for data analysis.
Is an introduction to natural language processing using Python. It covers the basics of natural language processing, as well as more advanced topics such as machine learning for natural language processing. It good choice for students who want to learn how to use Python for natural language processing.
Save
Is an introduction to computer science using Python. It covers the basics of programming, as well as more advanced topics such as data structures and algorithms. It good choice for students who want to learn the fundamentals of computer science.
Hands-on introduction to Python. It teaches the basics of the language through a series of projects. It good choice for students who want to learn Python quickly and easily.
Is an introduction to algorithms. It covers the basics of algorithms, as well as more advanced topics such as graph algorithms and dynamic programming. It good choice for students who want to learn the fundamentals of algorithms.
Is an introduction to computer science. It covers the basics of computer science, as well as more advanced topics such as data structures and algorithms. It good choice for students who want to learn the fundamentals of computer science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wagshq/basic
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Level
Introductory
Via
Coursera
Institution
Northeastern University
Instructor
Yizhen Zhao
Language
English
This course belongs to a
collection
called
Information Systems Foundations. It's comprised of four courses:
- Basic Programming in Python II (viewing)
- Introduction to Software Development and Applications
- Introduction to Domain Models
- Basic Programming in Python I
Good to know
Helps learners explore core concepts of Python such as data types, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, and basic object-oriented programming concepts
Provides an opportunity to build applications using tools from various task-specific Python libraries
Covers important topics in computer science and information systems
Introduces learners to preliminary topics in data science
Offers hands-on programming tasks for learners to apply their creativity and resolve real-world problems
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